Overview

Dataset statistics

Number of variables31
Number of observations249411
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory59.0 MiB
Average record size in memory248.0 B

Variable types

Categorical2
Numeric29

Alerts

password has a high cardinality: 249411 distinct valuesHigh cardinality
count_digits is highly overall correlated with count_consecutive_digits and 1 other fieldsHigh correlation
count_lower is highly overall correlated with count_consecutive_lower and 2 other fieldsHigh correlation
count_upper is highly overall correlated with count_consecutive_upper and 7 other fieldsHigh correlation
count_symbols is highly overall correlated with num_special_chars and 1 other fieldsHigh correlation
count_consecutive_digits is highly overall correlated with count_digits and 2 other fieldsHigh correlation
count_consecutive_upper is highly overall correlated with count_upper and 6 other fieldsHigh correlation
count_consecutive_lower is highly overall correlated with count_lower and 3 other fieldsHigh correlation
count_initial_digits is highly overall correlated with count_initial_lower and 1 other fieldsHigh correlation
count_initial_upper is highly overall correlated with count_upper and 2 other fieldsHigh correlation
count_initial_lower is highly overall correlated with count_upper and 8 other fieldsHigh correlation
count_initial_symbols is highly overall correlated with special_chars_beginningHigh correlation
count_final_digits is highly overall correlated with count_consecutive_digits and 2 other fieldsHigh correlation
count_final_upper is highly overall correlated with count_upper and 2 other fieldsHigh correlation
count_final_lower is highly overall correlated with count_final_digitsHigh correlation
length is highly overall correlated with count_upper and 4 other fieldsHigh correlation
unique_chars is highly overall correlated with count_upper and 5 other fieldsHigh correlation
num_special_chars is highly overall correlated with count_symbols and 1 other fieldsHigh correlation
digits_first_half is highly overall correlated with count_consecutive_lower and 3 other fieldsHigh correlation
upper_first_half is highly overall correlated with count_upper and 6 other fieldsHigh correlation
lower_first_half is highly overall correlated with count_lower and 3 other fieldsHigh correlation
digits_second_half is highly overall correlated with count_digits and 3 other fieldsHigh correlation
upper_second_half is highly overall correlated with count_upper and 6 other fieldsHigh correlation
lower_second_half is highly overall correlated with count_lower and 1 other fieldsHigh correlation
special_chars_beginning is highly overall correlated with count_initial_symbolsHigh correlation
count_non_alphanumeric is highly overall correlated with count_symbols and 1 other fieldsHigh correlation
strength is highly overall correlated with unique_charsHigh correlation
count_initial_symbols is highly skewed (γ1 = 73.04411934)Skewed
special_chars_beginning is highly skewed (γ1 = 70.59432913)Skewed
count_spaces is highly skewed (γ1 = 47.30511154)Skewed
password is uniformly distributedUniform
strength is uniformly distributedUniform
password has unique valuesUnique
count_lower has 3928 (1.6%) zerosZeros
count_upper has 169670 (68.0%) zerosZeros
count_symbols has 235752 (94.5%) zerosZeros
count_repeated_chars has 181103 (72.6%) zerosZeros
count_consecutive_digits has 102248 (41.0%) zerosZeros
count_consecutive_upper has 184662 (74.0%) zerosZeros
count_consecutive_lower has 19809 (7.9%) zerosZeros
count_consecutive_symbols has 247199 (99.1%) zerosZeros
count_initial_digits has 213966 (85.8%) zerosZeros
count_initial_upper has 214444 (86.0%) zerosZeros
count_initial_lower has 70544 (28.3%) zerosZeros
count_initial_symbols has 249279 (99.9%) zerosZeros
count_final_digits has 95506 (38.3%) zerosZeros
count_final_upper has 221474 (88.8%) zerosZeros
count_final_lower has 185723 (74.5%) zerosZeros
num_special_chars has 235756 (94.5%) zerosZeros
digits_first_half has 155680 (62.4%) zerosZeros
upper_first_half has 173609 (69.6%) zerosZeros
lower_first_half has 13406 (5.4%) zerosZeros
digits_second_half has 24776 (9.9%) zerosZeros
upper_second_half has 178132 (71.4%) zerosZeros
lower_second_half has 23736 (9.5%) zerosZeros
special_chars_beginning has 249275 (99.9%) zerosZeros
count_spaces has 249031 (99.8%) zerosZeros
count_non_alphanumeric has 235756 (94.5%) zerosZeros

Reproduction

Analysis started2023-04-18 16:41:16.575248
Analysis finished2023-04-18 16:44:50.635940
Duration3 minutes and 34.06 seconds
Software versionydata-profiling vv4.0.0
Download configurationconfig.json

Variables

password
Categorical

HIGH CARDINALITY  UNIFORM  UNIQUE 

Distinct249411
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 MiB
73ptilp
 
1
wxS2ztDk4OATjBfI
 
1
rexm12345
 
1
uroqyqy783
 
1
myworld123
 
1
Other values (249406)
249406 

Length

Max length220
Median length185
Mean length10.700426
Min length1

Characters and Unicode

Total characters2668804
Distinct characters186
Distinct categories18 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique249411 ?
Unique (%)100.0%

Sample

1st row73ptilp
2nd rowkalem55
3rd rowaca007
4th rownopy98u
5th rowac7i5ge

Common Values

ValueCountFrequency (%)
73ptilp 1
 
< 0.1%
wxS2ztDk4OATjBfI 1
 
< 0.1%
rexm12345 1
 
< 0.1%
uroqyqy783 1
 
< 0.1%
myworld123 1
 
< 0.1%
5000miles 1
 
< 0.1%
alte55kaq 1
 
< 0.1%
hruxpwjn20 1
 
< 0.1%
kaanklt123 1
 
< 0.1%
kgw273bmk 1
 
< 0.1%
Other values (249401) 249401
> 99.9%

Length

2023-04-18T10:44:50.850367image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
57
 
< 0.1%
123 20
 
< 0.1%
123456 18
 
< 0.1%
1 13
 
< 0.1%
i 9
 
< 0.1%
12345 9
 
< 0.1%
my 8
 
< 0.1%
love 8
 
< 0.1%
a 8
 
< 0.1%
m 6
 
< 0.1%
Other values (249132) 249755
99.9%

Most occurring characters

ValueCountFrequency (%)
a 134085
 
5.0%
1 122480
 
4.6%
e 96069
 
3.6%
2 88198
 
3.3%
o 86046
 
3.2%
i 85200
 
3.2%
0 82559
 
3.1%
3 69664
 
2.6%
n 69146
 
2.6%
r 69103
 
2.6%
Other values (176) 1766254
66.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1456446
54.6%
Decimal Number 691812
25.9%
Uppercase Letter 497535
 
18.6%
Other Punctuation 14602
 
0.5%
Dash Punctuation 2551
 
0.1%
Connector Punctuation 2253
 
0.1%
Math Symbol 1051
 
< 0.1%
Currency Symbol 808
 
< 0.1%
Space Separator 572
 
< 0.1%
Close Punctuation 420
 
< 0.1%
Other values (8) 754
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 38863
 
7.8%
M 38788
 
7.8%
N 33271
 
6.7%
Q 32183
 
6.5%
T 28364
 
5.7%
D 28306
 
5.7%
O 26249
 
5.3%
E 21990
 
4.4%
I 21107
 
4.2%
Y 20384
 
4.1%
Other values (39) 208030
41.8%
Lowercase Letter
ValueCountFrequency (%)
a 134085
 
9.2%
e 96069
 
6.6%
o 86046
 
5.9%
i 85200
 
5.8%
n 69146
 
4.7%
r 69103
 
4.7%
s 65865
 
4.5%
l 58768
 
4.0%
u 56521
 
3.9%
g 56374
 
3.9%
Other values (37) 679269
46.6%
Control
ValueCountFrequency (%)
 4
 
10.8%
 4
 
10.8%
 3
 
8.1%
 3
 
8.1%
 3
 
8.1%
 2
 
5.4%
 2
 
5.4%
 2
 
5.4%
 2
 
5.4%
 1
 
2.7%
Other values (11) 11
29.7%
Other Punctuation
ValueCountFrequency (%)
. 4762
32.6%
@ 4018
27.5%
! 1539
 
10.5%
* 1231
 
8.4%
# 935
 
6.4%
/ 579
 
4.0%
& 518
 
3.5%
? 360
 
2.5%
% 315
 
2.2%
; 308
 
2.1%
Other values (8) 37
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 122480
17.7%
2 88198
12.7%
0 82559
11.9%
3 69664
10.1%
9 62183
9.0%
4 58554
8.5%
5 58271
8.4%
8 52401
7.6%
7 49126
7.1%
6 48376
 
7.0%
Math Symbol
ValueCountFrequency (%)
+ 494
47.0%
= 193
 
18.4%
< 100
 
9.5%
± 75
 
7.1%
~ 74
 
7.0%
> 72
 
6.9%
| 36
 
3.4%
÷ 6
 
0.6%
× 1
 
0.1%
Other Number
ValueCountFrequency (%)
³ 12
52.2%
¾ 5
21.7%
¼ 2
 
8.7%
² 2
 
8.7%
¹ 1
 
4.3%
½ 1
 
4.3%
Modifier Symbol
ValueCountFrequency (%)
^ 252
94.0%
` 12
 
4.5%
´ 2
 
0.7%
¨ 1
 
0.4%
¯ 1
 
0.4%
Currency Symbol
ValueCountFrequency (%)
$ 806
99.8%
¤ 1
 
0.1%
¢ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 279
66.4%
] 105
 
25.0%
} 36
 
8.6%
Open Punctuation
ValueCountFrequency (%)
( 252
62.1%
[ 115
28.3%
{ 39
 
9.6%
Other Symbol
ValueCountFrequency (%)
° 6
75.0%
1
 
12.5%
¦ 1
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 2549
99.9%
2
 
0.1%
Space Separator
ValueCountFrequency (%)
571
99.8%
  1
 
0.2%
Initial Punctuation
ValueCountFrequency (%)
1
50.0%
« 1
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2253
100.0%
Other Letter
ValueCountFrequency (%)
º 8
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1953987
73.2%
Common 714817
 
26.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 134085
 
6.9%
e 96069
 
4.9%
o 86046
 
4.4%
i 85200
 
4.4%
n 69146
 
3.5%
r 69103
 
3.5%
s 65865
 
3.4%
l 58768
 
3.0%
u 56521
 
2.9%
g 56374
 
2.9%
Other values (86) 1176810
60.2%
Common
ValueCountFrequency (%)
1 122480
17.1%
2 88198
12.3%
0 82559
11.5%
3 69664
9.7%
9 62183
8.7%
4 58554
8.2%
5 58271
8.2%
8 52401
7.3%
7 49126
6.9%
6 48376
 
6.8%
Other values (80) 23005
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2668502
> 99.9%
None 295
 
< 0.1%
Punctuation 6
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 134085
 
5.0%
1 122480
 
4.6%
e 96069
 
3.6%
2 88198
 
3.3%
o 86046
 
3.2%
i 85200
 
3.2%
0 82559
 
3.1%
3 69664
 
2.6%
n 69146
 
2.6%
r 69103
 
2.6%
Other values (101) 1765952
66.2%
None
ValueCountFrequency (%)
± 75
25.4%
Ä 22
 
7.5%
Ú 16
 
5.4%
Ð 14
 
4.7%
þ 13
 
4.4%
Ó 13
 
4.4%
³ 12
 
4.1%
º 8
 
2.7%
ß 7
 
2.4%
° 6
 
2.0%
Other values (60) 109
36.9%
Punctuation
ValueCountFrequency (%)
2
33.3%
2
33.3%
1
16.7%
1
16.7%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

strength
Categorical

HIGH CORRELATION  UNIFORM 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.9 MiB
0
83137 
1
83137 
2
83137 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters249411
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 83137
33.3%
1 83137
33.3%
2 83137
33.3%

Length

2023-04-18T10:44:51.010946image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-04-18T10:44:51.147604image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
0 83137
33.3%
1 83137
33.3%
2 83137
33.3%

Most occurring characters

ValueCountFrequency (%)
0 83137
33.3%
1 83137
33.3%
2 83137
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 249411
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 83137
33.3%
1 83137
33.3%
2 83137
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 249411
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 83137
33.3%
1 83137
33.3%
2 83137
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 249411
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 83137
33.3%
1 83137
33.3%
2 83137
33.3%

count_digits
Real number (ℝ)

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7738432
Minimum0
Maximum39
Zeros2056
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:51.268252image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile7
Maximum39
Range39
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8644252
Coefficient of variation (CV)0.67214512
Kurtosis5.6221579
Mean2.7738432
Median Absolute Deviation (MAD)1
Skewness1.8630977
Sum691827
Variance3.4760811
MonotonicityNot monotonic
2023-04-18T10:44:51.413861image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
2 77526
31.1%
1 57713
23.1%
3 52710
21.1%
4 29602
 
11.9%
6 9368
 
3.8%
5 7529
 
3.0%
8 5164
 
2.1%
7 3503
 
1.4%
0 2056
 
0.8%
9 1644
 
0.7%
Other values (17) 2596
 
1.0%
ValueCountFrequency (%)
0 2056
 
0.8%
1 57713
23.1%
2 77526
31.1%
3 52710
21.1%
4 29602
 
11.9%
5 7529
 
3.0%
6 9368
 
3.8%
7 3503
 
1.4%
8 5164
 
2.1%
9 1644
 
0.7%
ValueCountFrequency (%)
39 1
 
< 0.1%
33 1
 
< 0.1%
31 1
 
< 0.1%
27 1
 
< 0.1%
22 2
 
< 0.1%
21 1
 
< 0.1%
20 2
 
< 0.1%
19 3
 
< 0.1%
18 3
 
< 0.1%
17 11
< 0.1%

count_lower
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct37
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.839574
Minimum0
Maximum164
Zeros3928
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:51.581413image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median6
Q37
95-th percentile10
Maximum164
Range164
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.4857083
Coefficient of variation (CV)0.42566604
Kurtosis85.961734
Mean5.839574
Median Absolute Deviation (MAD)1
Skewness2.4416264
Sum1456454
Variance6.178746
MonotonicityNot monotonic
2023-04-18T10:44:51.798832image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
5 57028
22.9%
6 53433
21.4%
4 32022
12.8%
7 29622
11.9%
8 20915
 
8.4%
9 12596
 
5.1%
3 12247
 
4.9%
2 8515
 
3.4%
10 5813
 
2.3%
1 4231
 
1.7%
Other values (27) 12989
 
5.2%
ValueCountFrequency (%)
0 3928
 
1.6%
1 4231
 
1.7%
2 8515
 
3.4%
3 12247
 
4.9%
4 32022
12.8%
5 57028
22.9%
6 53433
21.4%
7 29622
11.9%
8 20915
 
8.4%
9 12596
 
5.1%
ValueCountFrequency (%)
164 1
 
< 0.1%
109 1
 
< 0.1%
75 1
 
< 0.1%
70 1
 
< 0.1%
51 1
 
< 0.1%
34 1
 
< 0.1%
33 1
 
< 0.1%
29 2
< 0.1%
28 1
 
< 0.1%
27 3
< 0.1%

count_upper
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9948398
Minimum0
Maximum80
Zeros169670
Zeros (%)68.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:51.971369image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile9
Maximum80
Range80
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.2993168
Coefficient of variation (CV)1.6539256
Kurtosis2.5944968
Mean1.9948398
Median Absolute Deviation (MAD)0
Skewness1.4111669
Sum497535
Variance10.885491
MonotonicityNot monotonic
2023-04-18T10:44:52.178816image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 169670
68.0%
7 13131
 
5.3%
8 12246
 
4.9%
6 11694
 
4.7%
9 8639
 
3.5%
5 8321
 
3.3%
1 8045
 
3.2%
4 4801
 
1.9%
10 4633
 
1.9%
2 2888
 
1.2%
Other values (16) 5343
 
2.1%
ValueCountFrequency (%)
0 169670
68.0%
1 8045
 
3.2%
2 2888
 
1.2%
3 2679
 
1.1%
4 4801
 
1.9%
5 8321
 
3.3%
6 11694
 
4.7%
7 13131
 
5.3%
8 12246
 
4.9%
9 8639
 
3.5%
ValueCountFrequency (%)
80 1
 
< 0.1%
77 1
 
< 0.1%
38 1
 
< 0.1%
30 1
 
< 0.1%
25 3
 
< 0.1%
22 3
 
< 0.1%
19 5
< 0.1%
18 3
 
< 0.1%
17 7
< 0.1%
16 8
< 0.1%

count_symbols
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.092169151
Minimum0
Maximum21
Zeros235752
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:52.394239image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.48433715
Coefficient of variation (CV)5.2548727
Kurtosis132.93487
Mean0.092169151
Median Absolute Deviation (MAD)0
Skewness8.9650674
Sum22988
Variance0.23458248
MonotonicityNot monotonic
2023-04-18T10:44:52.538852image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 235752
94.5%
1 8724
 
3.5%
2 2701
 
1.1%
3 1308
 
0.5%
4 410
 
0.2%
6 244
 
0.1%
5 137
 
0.1%
7 56
 
< 0.1%
8 35
 
< 0.1%
9 23
 
< 0.1%
Other values (9) 21
 
< 0.1%
ValueCountFrequency (%)
0 235752
94.5%
1 8724
 
3.5%
2 2701
 
1.1%
3 1308
 
0.5%
4 410
 
0.2%
5 137
 
0.1%
6 244
 
0.1%
7 56
 
< 0.1%
8 35
 
< 0.1%
9 23
 
< 0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
20 1
 
< 0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%
16 1
 
< 0.1%
13 3
 
< 0.1%
12 2
 
< 0.1%
11 5
 
< 0.1%
10 6
 
< 0.1%
9 23
< 0.1%

count_repeated_chars
Real number (ℝ)

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35880935
Minimum0
Maximum20
Zeros181103
Zeros (%)72.6%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:52.716378image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.69571363
Coefficient of variation (CV)1.9389506
Kurtosis16.442915
Mean0.35880935
Median Absolute Deviation (MAD)0
Skewness2.934695
Sum89491
Variance0.48401745
MonotonicityNot monotonic
2023-04-18T10:44:52.903875image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 181103
72.6%
1 53539
 
21.5%
2 10857
 
4.4%
3 2273
 
0.9%
4 1063
 
0.4%
5 441
 
0.2%
6 80
 
< 0.1%
8 20
 
< 0.1%
7 15
 
< 0.1%
10 12
 
< 0.1%
Other values (5) 8
 
< 0.1%
ValueCountFrequency (%)
0 181103
72.6%
1 53539
 
21.5%
2 10857
 
4.4%
3 2273
 
0.9%
4 1063
 
0.4%
5 441
 
0.2%
6 80
 
< 0.1%
7 15
 
< 0.1%
8 20
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
15 1
 
< 0.1%
12 2
 
< 0.1%
11 1
 
< 0.1%
10 12
 
< 0.1%
9 3
 
< 0.1%
8 20
 
< 0.1%
7 15
 
< 0.1%
6 80
 
< 0.1%
5 441
0.2%

count_consecutive_digits
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3779825
Minimum0
Maximum25
Zeros102248
Zeros (%)41.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:53.103342image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum25
Range25
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.82931
Coefficient of variation (CV)1.3275278
Kurtosis5.4507566
Mean1.3779825
Median Absolute Deviation (MAD)1
Skewness2.0946382
Sum343684
Variance3.3463753
MonotonicityNot monotonic
2023-04-18T10:44:53.433458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 102248
41.0%
1 63455
25.4%
2 40219
 
16.1%
3 20411
 
8.2%
5 7467
 
3.0%
7 4581
 
1.8%
4 4140
 
1.7%
6 3134
 
1.3%
8 1500
 
0.6%
9 1411
 
0.6%
Other values (12) 845
 
0.3%
ValueCountFrequency (%)
0 102248
41.0%
1 63455
25.4%
2 40219
 
16.1%
3 20411
 
8.2%
4 4140
 
1.7%
5 7467
 
3.0%
6 3134
 
1.3%
7 4581
 
1.8%
8 1500
 
0.6%
9 1411
 
0.6%
ValueCountFrequency (%)
25 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
19 1
 
< 0.1%
17 4
 
< 0.1%
16 6
 
< 0.1%
15 19
< 0.1%
14 15
 
< 0.1%
13 33
< 0.1%
12 45
< 0.1%

count_consecutive_upper
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.83086151
Minimum0
Maximum36
Zeros184662
Zeros (%)74.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:53.582062image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum36
Range36
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6642645
Coefficient of variation (CV)2.0030588
Kurtosis5.9224246
Mean0.83086151
Median Absolute Deviation (MAD)0
Skewness2.2269439
Sum207226
Variance2.7697762
MonotonicityNot monotonic
2023-04-18T10:44:53.711714image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 184662
74.0%
2 14755
 
5.9%
3 14292
 
5.7%
1 11087
 
4.4%
4 11007
 
4.4%
5 6979
 
2.8%
6 3716
 
1.5%
7 1688
 
0.7%
8 746
 
0.3%
9 299
 
0.1%
Other values (12) 180
 
0.1%
ValueCountFrequency (%)
0 184662
74.0%
1 11087
 
4.4%
2 14755
 
5.9%
3 14292
 
5.7%
4 11007
 
4.4%
5 6979
 
2.8%
6 3716
 
1.5%
7 1688
 
0.7%
8 746
 
0.3%
9 299
 
0.1%
ValueCountFrequency (%)
36 1
 
< 0.1%
31 1
 
< 0.1%
22 2
 
< 0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%
16 4
 
< 0.1%
15 2
 
< 0.1%
14 5
 
< 0.1%
13 13
< 0.1%
12 22
< 0.1%

count_consecutive_lower
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9183236
Minimum0
Maximum149
Zeros19809
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:53.854360image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q35
95-th percentile8
Maximum149
Range149
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5781566
Coefficient of variation (CV)0.65797439
Kurtosis43.876136
Mean3.9183236
Median Absolute Deviation (MAD)1
Skewness1.7668643
Sum977273
Variance6.6468913
MonotonicityNot monotonic
2023-04-18T10:44:53.988003image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
4 48095
19.3%
3 39119
15.7%
5 37833
15.2%
2 27829
11.2%
1 24371
9.8%
0 19809
7.9%
6 19457
7.8%
7 13356
 
5.4%
8 8405
 
3.4%
9 4030
 
1.6%
Other values (23) 7107
 
2.8%
ValueCountFrequency (%)
0 19809
7.9%
1 24371
9.8%
2 27829
11.2%
3 39119
15.7%
4 48095
19.3%
5 37833
15.2%
6 19457
7.8%
7 13356
 
5.4%
8 8405
 
3.4%
9 4030
 
1.6%
ValueCountFrequency (%)
149 1
 
< 0.1%
58 1
 
< 0.1%
46 1
 
< 0.1%
35 1
 
< 0.1%
32 1
 
< 0.1%
29 1
 
< 0.1%
26 2
 
< 0.1%
25 4
< 0.1%
24 2
 
< 0.1%
23 5
< 0.1%

count_consecutive_symbols
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.017509252
Minimum0
Maximum14
Zeros247199
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:54.109650image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2289407
Coefficient of variation (CV)13.075413
Kurtosis497.90729
Mean0.017509252
Median Absolute Deviation (MAD)0
Skewness19.200335
Sum4367
Variance0.052413845
MonotonicityNot monotonic
2023-04-18T10:44:54.231366image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 247199
99.1%
1 1130
 
0.5%
2 603
 
0.2%
3 194
 
0.1%
5 149
 
0.1%
4 87
 
< 0.1%
6 22
 
< 0.1%
7 14
 
< 0.1%
8 5
 
< 0.1%
11 3
 
< 0.1%
Other values (3) 5
 
< 0.1%
ValueCountFrequency (%)
0 247199
99.1%
1 1130
 
0.5%
2 603
 
0.2%
3 194
 
0.1%
4 87
 
< 0.1%
5 149
 
0.1%
6 22
 
< 0.1%
7 14
 
< 0.1%
8 5
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
12 1
 
< 0.1%
11 3
 
< 0.1%
9 3
 
< 0.1%
8 5
 
< 0.1%
7 14
 
< 0.1%
6 22
 
< 0.1%
5 149
0.1%
4 87
< 0.1%
3 194
0.1%

count_initial_digits
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4229645
Minimum0
Maximum20
Zeros213966
Zeros (%)85.8%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:54.378929image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4035225
Coefficient of variation (CV)3.3182986
Kurtosis22.522094
Mean0.4229645
Median Absolute Deviation (MAD)0
Skewness4.4708088
Sum105492
Variance1.9698754
MonotonicityNot monotonic
2023-04-18T10:44:54.545512image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 213966
85.8%
1 14216
 
5.7%
3 6504
 
2.6%
2 5545
 
2.2%
4 2156
 
0.9%
6 2099
 
0.8%
8 1859
 
0.7%
7 929
 
0.4%
5 658
 
0.3%
9 574
 
0.2%
Other values (9) 905
 
0.4%
ValueCountFrequency (%)
0 213966
85.8%
1 14216
 
5.7%
2 5545
 
2.2%
3 6504
 
2.6%
4 2156
 
0.9%
5 658
 
0.3%
6 2099
 
0.8%
7 929
 
0.4%
8 1859
 
0.7%
9 574
 
0.2%
ValueCountFrequency (%)
20 1
 
< 0.1%
17 2
 
< 0.1%
16 8
 
< 0.1%
15 7
 
< 0.1%
14 10
 
< 0.1%
13 12
 
< 0.1%
12 86
 
< 0.1%
11 220
 
0.1%
10 559
0.2%
9 574
0.2%

count_initial_upper
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.26016896
Minimum0
Maximum19
Zeros214444
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:54.695083image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.85393942
Coefficient of variation (CV)3.2822494
Kurtosis38.127547
Mean0.26016896
Median Absolute Deviation (MAD)0
Skewness5.254797
Sum64889
Variance0.72921253
MonotonicityNot monotonic
2023-04-18T10:44:54.848673image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 214444
86.0%
1 21332
 
8.6%
2 6595
 
2.6%
3 3059
 
1.2%
4 1596
 
0.6%
5 1052
 
0.4%
6 643
 
0.3%
8 268
 
0.1%
7 239
 
0.1%
9 83
 
< 0.1%
Other values (8) 100
 
< 0.1%
ValueCountFrequency (%)
0 214444
86.0%
1 21332
 
8.6%
2 6595
 
2.6%
3 3059
 
1.2%
4 1596
 
0.6%
5 1052
 
0.4%
6 643
 
0.3%
7 239
 
0.1%
8 268
 
0.1%
9 83
 
< 0.1%
ValueCountFrequency (%)
19 1
 
< 0.1%
17 3
 
< 0.1%
15 1
 
< 0.1%
14 4
 
< 0.1%
13 8
 
< 0.1%
12 12
 
< 0.1%
11 25
 
< 0.1%
10 46
 
< 0.1%
9 83
 
< 0.1%
8 268
0.1%

count_initial_lower
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4128166
Minimum0
Maximum43
Zeros70544
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:54.971380image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q36
95-th percentile8
Maximum43
Range43
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.9981878
Coefficient of variation (CV)0.87850834
Kurtosis-0.39960918
Mean3.4128166
Median Absolute Deviation (MAD)3
Skewness0.45637433
Sum851194
Variance8.9891303
MonotonicityNot monotonic
2023-04-18T10:44:55.089031image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 70544
28.3%
5 33339
13.4%
6 31152
12.5%
1 24765
 
9.9%
4 23026
 
9.2%
2 15407
 
6.2%
7 15405
 
6.2%
3 13219
 
5.3%
8 11060
 
4.4%
9 6444
 
2.6%
Other values (17) 5050
 
2.0%
ValueCountFrequency (%)
0 70544
28.3%
1 24765
 
9.9%
2 15407
 
6.2%
3 13219
 
5.3%
4 23026
 
9.2%
5 33339
13.4%
6 31152
12.5%
7 15405
 
6.2%
8 11060
 
4.4%
9 6444
 
2.6%
ValueCountFrequency (%)
43 1
 
< 0.1%
27 1
 
< 0.1%
24 1
 
< 0.1%
23 2
 
< 0.1%
22 3
 
< 0.1%
21 3
 
< 0.1%
20 10
< 0.1%
19 16
< 0.1%
18 22
< 0.1%
17 21
< 0.1%

count_initial_symbols
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0013070795
Minimum0
Maximum7
Zeros249279
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:55.215692image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.073067745
Coefficient of variation (CV)55.901532
Kurtosis5930.1905
Mean0.0013070795
Median Absolute Deviation (MAD)0
Skewness73.044119
Sum326
Variance0.0053388954
MonotonicityNot monotonic
2023-04-18T10:44:55.345361image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 249279
99.9%
1 67
 
< 0.1%
2 22
 
< 0.1%
6 17
 
< 0.1%
3 13
 
< 0.1%
7 7
 
< 0.1%
4 5
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 249279
99.9%
1 67
 
< 0.1%
2 22
 
< 0.1%
3 13
 
< 0.1%
4 5
 
< 0.1%
5 1
 
< 0.1%
6 17
 
< 0.1%
7 7
 
< 0.1%
ValueCountFrequency (%)
7 7
 
< 0.1%
6 17
 
< 0.1%
5 1
 
< 0.1%
4 5
 
< 0.1%
3 13
 
< 0.1%
2 22
 
< 0.1%
1 67
 
< 0.1%
0 249279
99.9%

count_final_digits
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5384406
Minimum0
Maximum22
Zeros95506
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:55.479014image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum22
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7914393
Coefficient of variation (CV)1.1644514
Kurtosis4.1795606
Mean1.5384406
Median Absolute Deviation (MAD)1
Skewness1.7070307
Sum383704
Variance3.2092546
MonotonicityNot monotonic
2023-04-18T10:44:55.615654image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 95506
38.3%
2 47786
19.2%
1 47568
19.1%
3 29692
 
11.9%
4 16242
 
6.5%
6 4774
 
1.9%
8 2349
 
0.9%
5 2126
 
0.9%
7 1679
 
0.7%
9 725
 
0.3%
Other values (10) 964
 
0.4%
ValueCountFrequency (%)
0 95506
38.3%
1 47568
19.1%
2 47786
19.2%
3 29692
 
11.9%
4 16242
 
6.5%
5 2126
 
0.9%
6 4774
 
1.9%
7 1679
 
0.7%
8 2349
 
0.9%
9 725
 
0.3%
ValueCountFrequency (%)
22 1
 
< 0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%
16 8
 
< 0.1%
15 4
 
< 0.1%
14 14
 
< 0.1%
13 10
 
< 0.1%
12 67
 
< 0.1%
11 221
 
0.1%
10 637
0.3%

count_final_upper
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19529211
Minimum0
Maximum15
Zeros221474
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:55.750289image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.68150344
Coefficient of variation (CV)3.489662
Kurtosis35.983037
Mean0.19529211
Median Absolute Deviation (MAD)0
Skewness5.1492963
Sum48708
Variance0.46444694
MonotonicityNot monotonic
2023-04-18T10:44:55.867946image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 221474
88.8%
1 16443
 
6.6%
2 6498
 
2.6%
3 2835
 
1.1%
4 1153
 
0.5%
5 448
 
0.2%
7 412
 
0.2%
6 101
 
< 0.1%
8 27
 
< 0.1%
9 11
 
< 0.1%
Other values (4) 9
 
< 0.1%
ValueCountFrequency (%)
0 221474
88.8%
1 16443
 
6.6%
2 6498
 
2.6%
3 2835
 
1.1%
4 1153
 
0.5%
5 448
 
0.2%
6 101
 
< 0.1%
7 412
 
0.2%
8 27
 
< 0.1%
9 11
 
< 0.1%
ValueCountFrequency (%)
15 2
 
< 0.1%
14 1
 
< 0.1%
11 3
 
< 0.1%
10 3
 
< 0.1%
9 11
 
< 0.1%
8 27
 
< 0.1%
7 412
 
0.2%
6 101
 
< 0.1%
5 448
 
0.2%
4 1153
0.5%

count_final_lower
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.64947416
Minimum0
Maximum19
Zeros185723
Zeros (%)74.5%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:56.016548image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4385677
Coefficient of variation (CV)2.214973
Kurtosis10.843755
Mean0.64947416
Median Absolute Deviation (MAD)0
Skewness2.9601456
Sum161986
Variance2.0694771
MonotonicityNot monotonic
2023-04-18T10:44:56.161161image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 185723
74.5%
1 23434
 
9.4%
2 15869
 
6.4%
3 9662
 
3.9%
4 5697
 
2.3%
5 4167
 
1.7%
6 2490
 
1.0%
7 1105
 
0.4%
8 606
 
0.2%
9 310
 
0.1%
Other values (10) 348
 
0.1%
ValueCountFrequency (%)
0 185723
74.5%
1 23434
 
9.4%
2 15869
 
6.4%
3 9662
 
3.9%
4 5697
 
2.3%
5 4167
 
1.7%
6 2490
 
1.0%
7 1105
 
0.4%
8 606
 
0.2%
9 310
 
0.1%
ValueCountFrequency (%)
19 2
 
< 0.1%
18 3
 
< 0.1%
17 2
 
< 0.1%
16 4
 
< 0.1%
15 7
 
< 0.1%
14 13
 
< 0.1%
13 22
 
< 0.1%
12 42
 
< 0.1%
11 95
< 0.1%
10 158
0.1%

length
Real number (ℝ)

Distinct49
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.700426
Minimum1
Maximum220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:56.328714image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q17
median9
Q316
95-th percentile16
Maximum220
Range219
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.1602593
Coefficient of variation (CV)0.38879379
Kurtosis57.569966
Mean10.700426
Median Absolute Deviation (MAD)3
Skewness1.8873308
Sum2668804
Variance17.307757
MonotonicityNot monotonic
2023-04-18T10:44:56.491280image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
16 55638
22.3%
7 46007
18.4%
6 36915
14.8%
9 24166
9.7%
10 23032
9.2%
8 18790
 
7.5%
14 10849
 
4.3%
15 9840
 
3.9%
11 7591
 
3.0%
12 6166
 
2.5%
Other values (39) 10417
 
4.2%
ValueCountFrequency (%)
1 3
 
< 0.1%
2 9
 
< 0.1%
3 22
 
< 0.1%
4 30
 
< 0.1%
5 151
 
0.1%
6 36915
14.8%
7 46007
18.4%
8 18790
7.5%
9 24166
9.7%
10 23032
9.2%
ValueCountFrequency (%)
220 1
 
< 0.1%
192 1
 
< 0.1%
185 1
 
< 0.1%
147 1
 
< 0.1%
100 1
 
< 0.1%
68 1
 
< 0.1%
64 1
 
< 0.1%
50 2
< 0.1%
48 1
 
< 0.1%
45 3
< 0.1%

unique_chars
Real number (ℝ)

Distinct39
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2298976
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:56.632936image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q16
median8
Q313
95-th percentile15
Maximum60
Range59
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.6222026
Coefficient of variation (CV)0.39244234
Kurtosis-0.4786848
Mean9.2298976
Median Absolute Deviation (MAD)2
Skewness0.4981591
Sum2302038
Variance13.120352
MonotonicityNot monotonic
2023-04-18T10:44:56.763584image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
6 40744
16.3%
7 38095
15.3%
8 23697
9.5%
14 22149
8.9%
5 20292
8.1%
9 19047
7.6%
15 18219
7.3%
13 16918
6.8%
10 11994
 
4.8%
12 11289
 
4.5%
Other values (29) 26967
10.8%
ValueCountFrequency (%)
1 17
 
< 0.1%
2 999
 
0.4%
3 1753
 
0.7%
4 7214
 
2.9%
5 20292
8.1%
6 40744
16.3%
7 38095
15.3%
8 23697
9.5%
9 19047
7.6%
10 11994
 
4.8%
ValueCountFrequency (%)
60 1
 
< 0.1%
56 1
 
< 0.1%
51 1
 
< 0.1%
47 1
 
< 0.1%
43 1
 
< 0.1%
38 1
 
< 0.1%
34 1
 
< 0.1%
33 2
< 0.1%
31 3
< 0.1%
30 2
< 0.1%

num_special_chars
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.092137075
Minimum0
Maximum21
Zeros235756
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:56.891209image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.48416938
Coefficient of variation (CV)5.2548812
Kurtosis132.9164
Mean0.092137075
Median Absolute Deviation (MAD)0
Skewness8.9628396
Sum22980
Variance0.23441999
MonotonicityNot monotonic
2023-04-18T10:44:56.999951image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 235756
94.5%
1 8721
 
3.5%
2 2700
 
1.1%
3 1309
 
0.5%
4 409
 
0.2%
6 245
 
0.1%
5 137
 
0.1%
7 56
 
< 0.1%
8 34
 
< 0.1%
9 23
 
< 0.1%
Other values (9) 21
 
< 0.1%
ValueCountFrequency (%)
0 235756
94.5%
1 8721
 
3.5%
2 2700
 
1.1%
3 1309
 
0.5%
4 409
 
0.2%
5 137
 
0.1%
6 245
 
0.1%
7 56
 
< 0.1%
8 34
 
< 0.1%
9 23
 
< 0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
20 1
 
< 0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%
16 1
 
< 0.1%
13 3
 
< 0.1%
12 2
 
< 0.1%
11 5
 
< 0.1%
10 6
 
< 0.1%
9 23
< 0.1%

digits_first_half
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.74994687
Minimum0
Maximum27
Zeros155680
Zeros (%)62.4%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:57.103674image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum27
Range27
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2549843
Coefficient of variation (CV)1.673431
Kurtosis7.0973156
Mean0.74994687
Median Absolute Deviation (MAD)0
Skewness2.244272
Sum187045
Variance1.5749857
MonotonicityNot monotonic
2023-04-18T10:44:57.216373image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 155680
62.4%
1 45053
 
18.1%
2 23136
 
9.3%
3 15181
 
6.1%
4 5687
 
2.3%
5 2409
 
1.0%
6 1198
 
0.5%
7 596
 
0.2%
8 340
 
0.1%
9 68
 
< 0.1%
Other values (6) 63
 
< 0.1%
ValueCountFrequency (%)
0 155680
62.4%
1 45053
 
18.1%
2 23136
 
9.3%
3 15181
 
6.1%
4 5687
 
2.3%
5 2409
 
1.0%
6 1198
 
0.5%
7 596
 
0.2%
8 340
 
0.1%
9 68
 
< 0.1%
ValueCountFrequency (%)
27 1
 
< 0.1%
19 2
 
< 0.1%
14 2
 
< 0.1%
12 3
 
< 0.1%
11 13
 
< 0.1%
10 42
 
< 0.1%
9 68
 
< 0.1%
8 340
 
0.1%
7 596
0.2%
6 1198
0.5%

upper_first_half
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0251593
Minimum0
Maximum42
Zeros173609
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:57.327044image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum42
Range42
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7710468
Coefficient of variation (CV)1.7275821
Kurtosis3.4548627
Mean1.0251593
Median Absolute Deviation (MAD)0
Skewness1.6306069
Sum255686
Variance3.1366069
MonotonicityNot monotonic
2023-04-18T10:44:57.430298image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 173609
69.6%
3 17770
 
7.1%
4 17249
 
6.9%
2 12358
 
5.0%
5 11602
 
4.7%
1 10448
 
4.2%
6 4836
 
1.9%
7 1293
 
0.5%
8 192
 
0.1%
9 27
 
< 0.1%
Other values (7) 27
 
< 0.1%
ValueCountFrequency (%)
0 173609
69.6%
1 10448
 
4.2%
2 12358
 
5.0%
3 17770
 
7.1%
4 17249
 
6.9%
5 11602
 
4.7%
6 4836
 
1.9%
7 1293
 
0.5%
8 192
 
0.1%
9 27
 
< 0.1%
ValueCountFrequency (%)
42 2
 
< 0.1%
17 1
 
< 0.1%
14 2
 
< 0.1%
13 1
 
< 0.1%
12 1
 
< 0.1%
11 6
 
< 0.1%
10 14
 
< 0.1%
9 27
 
< 0.1%
8 192
 
0.1%
7 1293
0.5%

lower_first_half
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3575263
Minimum0
Maximum84
Zeros13406
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:57.547022image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median3
Q34
95-th percentile6
Maximum84
Range84
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.641946
Coefficient of variation (CV)0.48903443
Kurtosis28.275729
Mean3.3575263
Median Absolute Deviation (MAD)1
Skewness1.0844156
Sum837404
Variance2.6959866
MonotonicityNot monotonic
2023-04-18T10:44:57.660712image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3 88260
35.4%
4 48504
19.4%
2 33124
 
13.3%
5 32656
 
13.1%
0 13406
 
5.4%
1 13282
 
5.3%
6 12207
 
4.9%
7 4416
 
1.8%
8 1918
 
0.8%
9 848
 
0.3%
Other values (13) 790
 
0.3%
ValueCountFrequency (%)
0 13406
 
5.4%
1 13282
 
5.3%
2 33124
 
13.3%
3 88260
35.4%
4 48504
19.4%
5 32656
 
13.1%
6 12207
 
4.9%
7 4416
 
1.8%
8 1918
 
0.8%
9 848
 
0.3%
ValueCountFrequency (%)
84 1
 
< 0.1%
49 1
 
< 0.1%
31 2
 
< 0.1%
29 1
 
< 0.1%
22 1
 
< 0.1%
21 1
 
< 0.1%
16 2
 
< 0.1%
15 5
 
< 0.1%
14 10
 
< 0.1%
13 47
< 0.1%

digits_second_half
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0238963
Minimum0
Maximum15
Zeros24776
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:57.773386image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum15
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4240844
Coefficient of variation (CV)0.70363507
Kurtosis2.6820239
Mean2.0238963
Median Absolute Deviation (MAD)1
Skewness1.1978836
Sum504782
Variance2.0280164
MonotonicityNot monotonic
2023-04-18T10:44:57.879132image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 76357
30.6%
2 72875
29.2%
3 42845
17.2%
0 24776
 
9.9%
4 19840
 
8.0%
5 6239
 
2.5%
6 3751
 
1.5%
7 1372
 
0.6%
8 983
 
0.4%
9 216
 
0.1%
Other values (6) 157
 
0.1%
ValueCountFrequency (%)
0 24776
 
9.9%
1 76357
30.6%
2 72875
29.2%
3 42845
17.2%
4 19840
 
8.0%
5 6239
 
2.5%
6 3751
 
1.5%
7 1372
 
0.6%
8 983
 
0.4%
9 216
 
0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
14 7
 
< 0.1%
13 3
 
< 0.1%
12 13
 
< 0.1%
11 29
 
< 0.1%
10 104
 
< 0.1%
9 216
 
0.1%
8 983
 
0.4%
7 1372
 
0.6%
6 3751
1.5%

upper_second_half
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.96968057
Minimum0
Maximum38
Zeros178132
Zeros (%)71.4%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:57.994817image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum38
Range38
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7038892
Coefficient of variation (CV)1.7571655
Kurtosis2.6106905
Mean0.96968057
Median Absolute Deviation (MAD)0
Skewness1.5892447
Sum241849
Variance2.9032385
MonotonicityNot monotonic
2023-04-18T10:44:58.111480image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 178132
71.4%
3 18765
 
7.5%
4 18685
 
7.5%
2 11558
 
4.6%
5 10951
 
4.4%
1 7173
 
2.9%
6 3501
 
1.4%
7 558
 
0.2%
8 46
 
< 0.1%
9 21
 
< 0.1%
Other values (9) 21
 
< 0.1%
ValueCountFrequency (%)
0 178132
71.4%
1 7173
 
2.9%
2 11558
 
4.6%
3 18765
 
7.5%
4 18685
 
7.5%
5 10951
 
4.4%
6 3501
 
1.4%
7 558
 
0.2%
8 46
 
< 0.1%
9 21
 
< 0.1%
ValueCountFrequency (%)
38 1
 
< 0.1%
35 1
 
< 0.1%
21 1
 
< 0.1%
16 1
 
< 0.1%
15 2
 
< 0.1%
14 1
 
< 0.1%
13 1
 
< 0.1%
11 4
 
< 0.1%
10 9
< 0.1%
9 21
< 0.1%

lower_second_half
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4820477
Minimum0
Maximum80
Zeros23736
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:58.242162image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q33
95-th percentile5
Maximum80
Range80
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5391557
Coefficient of variation (CV)0.62011528
Kurtosis39.139115
Mean2.4820477
Median Absolute Deviation (MAD)1
Skewness1.6162096
Sum619050
Variance2.3690003
MonotonicityNot monotonic
2023-04-18T10:44:58.360838image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2 70753
28.4%
3 66318
26.6%
1 37144
14.9%
4 31186
12.5%
0 23736
 
9.5%
5 12018
 
4.8%
6 4494
 
1.8%
7 1923
 
0.8%
8 1119
 
0.4%
9 391
 
0.2%
Other values (12) 329
 
0.1%
ValueCountFrequency (%)
0 23736
 
9.5%
1 37144
14.9%
2 70753
28.4%
3 66318
26.6%
4 31186
12.5%
5 12018
 
4.8%
6 4494
 
1.8%
7 1923
 
0.8%
8 1119
 
0.4%
9 391
 
0.2%
ValueCountFrequency (%)
80 1
 
< 0.1%
60 1
 
< 0.1%
44 1
 
< 0.1%
41 1
 
< 0.1%
20 1
 
< 0.1%
17 1
 
< 0.1%
15 2
 
< 0.1%
14 8
 
< 0.1%
13 20
< 0.1%
12 28
< 0.1%

special_chars_beginning
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0014233534
Minimum0
Maximum7
Zeros249275
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:58.475507image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.078233133
Coefficient of variation (CV)54.963954
Kurtosis5487.0301
Mean0.0014233534
Median Absolute Deviation (MAD)0
Skewness70.594329
Sum355
Variance0.006120423
MonotonicityNot monotonic
2023-04-18T10:44:58.570253image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 249275
99.9%
1 66
 
< 0.1%
2 23
 
< 0.1%
6 16
 
< 0.1%
3 12
 
< 0.1%
7 11
 
< 0.1%
4 6
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
0 249275
99.9%
1 66
 
< 0.1%
2 23
 
< 0.1%
3 12
 
< 0.1%
4 6
 
< 0.1%
5 2
 
< 0.1%
6 16
 
< 0.1%
7 11
 
< 0.1%
ValueCountFrequency (%)
7 11
 
< 0.1%
6 16
 
< 0.1%
5 2
 
< 0.1%
4 6
 
< 0.1%
3 12
 
< 0.1%
2 23
 
< 0.1%
1 66
 
< 0.1%
0 249275
99.9%

count_spaces
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0022893938
Minimum0
Maximum8
Zeros249031
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:58.680957image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07055863
Coefficient of variation (CV)30.819787
Kurtosis3109.6037
Mean0.0022893938
Median Absolute Deviation (MAD)0
Skewness47.305112
Sum571
Variance0.0049785203
MonotonicityNot monotonic
2023-04-18T10:44:58.785677image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 249031
99.8%
1 268
 
0.1%
2 68
 
< 0.1%
3 27
 
< 0.1%
4 7
 
< 0.1%
5 6
 
< 0.1%
7 2
 
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 249031
99.8%
1 268
 
0.1%
2 68
 
< 0.1%
3 27
 
< 0.1%
4 7
 
< 0.1%
5 6
 
< 0.1%
6 1
 
< 0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 2
 
< 0.1%
6 1
 
< 0.1%
5 6
 
< 0.1%
4 7
 
< 0.1%
3 27
 
< 0.1%
2 68
 
< 0.1%
1 268
 
0.1%
0 249031
99.8%

count_non_alphanumeric
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.092137075
Minimum0
Maximum21
Zeros235756
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:58.905362image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.48416938
Coefficient of variation (CV)5.2548812
Kurtosis132.9164
Mean0.092137075
Median Absolute Deviation (MAD)0
Skewness8.9628396
Sum22980
Variance0.23441999
MonotonicityNot monotonic
2023-04-18T10:44:59.014064image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 235756
94.5%
1 8721
 
3.5%
2 2700
 
1.1%
3 1309
 
0.5%
4 409
 
0.2%
6 245
 
0.1%
5 137
 
0.1%
7 56
 
< 0.1%
8 34
 
< 0.1%
9 23
 
< 0.1%
Other values (9) 21
 
< 0.1%
ValueCountFrequency (%)
0 235756
94.5%
1 8721
 
3.5%
2 2700
 
1.1%
3 1309
 
0.5%
4 409
 
0.2%
5 137
 
0.1%
6 245
 
0.1%
7 56
 
< 0.1%
8 34
 
< 0.1%
9 23
 
< 0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
20 1
 
< 0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%
16 1
 
< 0.1%
13 3
 
< 0.1%
12 2
 
< 0.1%
11 5
 
< 0.1%
10 6
 
< 0.1%
9 23
< 0.1%

most_common_char_freq
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8943792
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-04-18T10:44:59.147710image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum34
Range33
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.73438636
Coefficient of variation (CV)0.38766598
Kurtosis18.829678
Mean1.8943792
Median Absolute Deviation (MAD)0
Skewness1.4803987
Sum472479
Variance0.53932332
MonotonicityNot monotonic
2023-04-18T10:44:59.277360image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 145197
58.2%
1 69596
27.9%
3 28203
 
11.3%
4 4939
 
2.0%
5 882
 
0.4%
6 527
 
0.2%
7 36
 
< 0.1%
8 15
 
< 0.1%
10 8
 
< 0.1%
9 6
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
1 69596
27.9%
2 145197
58.2%
3 28203
 
11.3%
4 4939
 
2.0%
5 882
 
0.4%
6 527
 
0.2%
7 36
 
< 0.1%
8 15
 
< 0.1%
9 6
 
< 0.1%
10 8
 
< 0.1%
ValueCountFrequency (%)
34 1
 
< 0.1%
12 1
 
< 0.1%
10 8
 
< 0.1%
9 6
 
< 0.1%
8 15
 
< 0.1%
7 36
 
< 0.1%
6 527
 
0.2%
5 882
 
0.4%
4 4939
 
2.0%
3 28203
11.3%

Interactions

2023-04-18T10:44:41.551060image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:41.518659image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:48.458356image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:54.822333image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:01.331922image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:07.092541image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:13.462507image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:20.378011image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:26.634242image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:33.069906image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:39.058886image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:45.824818image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:52.085042image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:58.382200image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:04.515792image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:10.771060image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:17.417318image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:23.793229image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:29.864015image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:36.262873image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:42.131999image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:49.045512image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:55.098316image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:01.413430image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:08.029734image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:14.249063image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:20.855426image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:26.924192image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:34.960666image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:41.780447image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:41.753005image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:48.672816image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:55.047730image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:01.532388image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:07.316947image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:13.684880image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:20.604375image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:26.862630image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:33.285329image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:39.285280image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:46.041241image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:52.311470image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:58.594630image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:04.733238image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:10.985522image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:17.640718image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:24.009650image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:30.087422image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:36.469321image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:42.350386image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:49.260913image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:55.320693image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:01.647771image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:08.253102image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:14.484468image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:21.072843image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:27.163522image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:35.219970image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:42.014827image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:41.981421image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:48.880227image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:55.259167image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:01.728859image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:07.534330image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:13.895352image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:20.815837image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:27.078087image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:33.486791image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:39.518657image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:46.253639image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:52.522906image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:58.825040image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:04.942649image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:11.204926image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:17.857138image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:24.216128image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:30.304845image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:36.669816image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:42.559860image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:49.464358image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:55.533160image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:01.872202image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:08.460581image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:14.705873image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:21.283282image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:27.399885image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:35.445367image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:42.240223image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:42.223747image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:49.139534image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:55.476584image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:01.929323image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:07.758769image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:14.160634image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:21.033256image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:27.307442image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:33.695260image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:39.736076image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:46.468100image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:52.742285image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:59.038441image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:05.168074image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:11.979852image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:18.082536image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:24.426533image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:30.528213image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:36.870280image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:42.775283image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:49.673835image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:55.748576image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:02.103582image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:08.675000image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:14.933234image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:21.502690image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:27.636297image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:35.686719image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:42.450660image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:42.448146image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:49.345983image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:55.677081image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:02.114826image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:07.967207image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:14.377029image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:21.256627image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:27.515917image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:33.890743image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:39.940563image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:46.668562image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:52.945775image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:59.238933image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:05.372500image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:12.181288image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:18.292941image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:24.627024image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:30.735656image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:37.064760image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:42.976747image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:49.889223image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:55.955002image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:02.323993image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:08.876467image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:15.153676image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:21.700164image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:27.841731image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:35.915108image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:42.687991image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:42.688536image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:49.574371image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:55.897457image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:02.324269image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:08.194599image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:14.613394image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:21.481058image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2023-04-18T10:44:19.960812image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:26.083434image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:33.931416image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:40.701339image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:47.367474image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:47.786154image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:54.190024image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:00.675678image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:06.487159image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:12.798285image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:19.733732image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:25.983982image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:32.416653image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:38.439575image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:45.166548image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:51.434814image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:57.747896image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:03.864561image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:10.147727image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:16.783011image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:23.114070image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:29.218713image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:35.618597image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:41.513658image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:48.411208image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:54.442044image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:00.747206image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:07.362519image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:13.593829image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:20.193197image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:26.298832image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:34.202689image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:40.905786image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:47.586921image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:48.015574image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:54.405448image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:00.888108image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:06.688601image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:13.018697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:19.950149image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:26.209377image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:32.642049image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:38.647015image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:45.385962image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:51.652201image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:57.961357image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:04.083980image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:10.361161image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:16.992426image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:23.335484image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:29.434171image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:35.841001image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:41.719113image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:48.624605image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:54.651488image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:00.964630image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:07.594895image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:13.809275image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:20.422582image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:26.512266image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:34.458006image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:41.119187image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:47.798322image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:48.230001image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:41:54.612893image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:01.105527image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:06.878120image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:13.230095image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:20.164575image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:26.411869image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:32.849527image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:38.842499image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:45.604376image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:51.855690image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:42:58.173755image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:04.284412image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:10.564645image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:17.200861image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:23.542900image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:29.635626image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:36.051437image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:41.909600image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:48.832083image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:43:54.877905image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:01.193019image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:07.809315image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:14.017682image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:20.635980image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:26.711730image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:34.697365image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2023-04-18T10:44:41.310678image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Correlations

2023-04-18T10:44:59.491786image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
count_digitscount_lowercount_uppercount_symbolscount_repeated_charscount_consecutive_digitscount_consecutive_uppercount_consecutive_lowercount_consecutive_symbolscount_initial_digitscount_initial_uppercount_initial_lowercount_initial_symbolscount_final_digitscount_final_uppercount_final_lowerlengthunique_charsnum_special_charsdigits_first_halfupper_first_halflower_first_halfdigits_second_halfupper_second_halflower_second_halfspecial_chars_beginningcount_spacescount_non_alphanumericmost_common_char_freqstrength
count_digits1.000-0.2660.0810.0720.2430.7930.035-0.2790.0510.2820.051-0.281-0.0050.334-0.015-0.0520.3100.2360.0720.4720.082-0.0390.7180.043-0.384-0.006-0.0020.0720.2500.220
count_lower-0.2661.0000.0470.184-0.115-0.230-0.0570.7750.027-0.173-0.0070.367-0.012-0.092-0.0170.0460.4380.4230.184-0.2650.0380.730-0.1760.0280.709-0.0130.0130.1840.0840.060
count_upper0.0810.0471.000-0.017-0.105-0.2560.920-0.432-0.0040.1040.589-0.617-0.001-0.4270.5600.0960.7510.753-0.0170.3060.972-0.100-0.1550.9500.149-0.0010.001-0.0170.2050.259
count_symbols0.0720.184-0.0171.0000.0950.108-0.0910.1850.4090.0150.0330.0320.099-0.082-0.0020.0100.2100.1561.0000.029-0.0480.1750.038-0.0590.1110.1000.1641.0000.1990.079
count_repeated_chars0.243-0.115-0.1050.0951.0000.312-0.118-0.0260.0880.063-0.023-0.0290.0110.164-0.077-0.022-0.037-0.2080.0950.076-0.105-0.0170.212-0.132-0.1560.0110.0080.0950.4410.023
count_consecutive_digits0.793-0.230-0.2560.1080.3121.000-0.277-0.0060.0600.167-0.1000.023-0.0010.572-0.199-0.1520.009-0.0570.1080.146-0.2540.0630.712-0.298-0.424-0.0010.0040.1080.1720.231
count_consecutive_upper0.035-0.0570.920-0.091-0.118-0.2771.000-0.488-0.0240.0980.495-0.546-0.008-0.4090.5180.0960.6480.666-0.0910.2760.906-0.184-0.1840.9220.066-0.008-0.014-0.0910.1360.303
count_consecutive_lower-0.2790.775-0.4320.185-0.026-0.006-0.4881.0000.028-0.221-0.2160.676-0.0130.250-0.256-0.159-0.010-0.0200.185-0.501-0.4400.702-0.022-0.4580.446-0.0130.0110.185-0.0310.058
count_consecutive_symbols0.0510.027-0.0040.4090.0880.060-0.0240.0281.0000.0170.022-0.0130.142-0.059-0.021-0.0240.0850.0630.4090.034-0.0050.0410.025-0.025-0.0260.1430.0900.4090.0720.049
count_initial_digits0.282-0.1730.1040.0150.0630.1670.098-0.2210.0171.000-0.163-0.511-0.009-0.3500.1020.3650.0950.0690.0150.6130.073-0.407-0.2110.1310.158-0.0090.0030.0150.0960.139
count_initial_upper0.051-0.0070.5890.033-0.023-0.1000.495-0.2160.022-0.1631.000-0.508-0.009-0.1300.2160.0150.4180.4080.0330.0610.629-0.0870.0230.4540.064-0.0080.0200.0330.1410.196
count_initial_lower-0.2810.367-0.6170.032-0.0290.023-0.5460.676-0.013-0.511-0.5081.000-0.0290.457-0.289-0.417-0.312-0.3030.032-0.667-0.6300.5590.168-0.548-0.014-0.029-0.0200.032-0.1540.378
count_initial_symbols-0.005-0.012-0.0010.0990.011-0.001-0.008-0.0130.142-0.009-0.009-0.0291.000-0.015-0.001-0.0070.001-0.0040.0990.003-0.004-0.015-0.008-0.003-0.0110.9850.0170.0990.0120.011
count_final_digits0.334-0.092-0.427-0.0820.1640.572-0.4090.250-0.059-0.350-0.1300.457-0.0151.000-0.393-0.641-0.245-0.261-0.082-0.432-0.3840.3340.704-0.474-0.491-0.015-0.013-0.082-0.0180.305
count_final_upper-0.015-0.0170.560-0.002-0.077-0.1990.518-0.256-0.0210.1020.216-0.289-0.001-0.3931.000-0.2050.4120.409-0.0020.2220.476-0.045-0.2000.6090.018-0.001-0.010-0.0020.1100.206
count_final_lower-0.0520.0460.0960.010-0.022-0.1520.096-0.159-0.0240.3650.015-0.417-0.007-0.641-0.2051.0000.0790.0760.0100.4400.108-0.312-0.4020.0970.394-0.0080.0080.0100.0270.093
length0.3100.4380.7510.210-0.0370.0090.648-0.0100.0850.0950.418-0.3120.001-0.2450.4120.0791.0000.9260.2100.2950.7230.3060.0940.7070.3340.0000.0150.2100.3410.061
unique_chars0.2360.4230.7530.156-0.208-0.0570.666-0.0200.0630.0690.408-0.303-0.004-0.2610.4090.0760.9261.0000.1560.2420.7310.2870.0340.7180.331-0.0040.0100.1560.0510.741
num_special_chars0.0720.184-0.0171.0000.0950.108-0.0910.1850.4090.0150.0330.0320.099-0.082-0.0020.0100.2100.1561.0000.029-0.0480.1750.039-0.0590.1110.1000.1641.0000.1990.079
digits_first_half0.472-0.2650.3060.0290.0760.1460.276-0.5010.0340.6130.061-0.6670.003-0.4320.2220.4400.2950.2420.0291.0000.275-0.518-0.1780.3290.1160.003-0.0020.0290.1960.131
upper_first_half0.0820.0380.972-0.048-0.105-0.2540.906-0.440-0.0050.0730.629-0.630-0.004-0.3840.4760.1080.7230.731-0.0480.2751.000-0.135-0.1240.8920.164-0.0040.001-0.0480.1850.272
lower_first_half-0.0390.730-0.1000.175-0.0170.063-0.1840.7020.041-0.407-0.0870.559-0.0150.334-0.045-0.3120.3060.2870.175-0.518-0.1351.0000.297-0.0930.109-0.0160.0100.1750.0770.081
digits_second_half0.718-0.176-0.1550.0380.2120.712-0.184-0.0220.025-0.2110.0230.168-0.0080.704-0.200-0.4020.0940.0340.039-0.178-0.1240.2971.000-0.219-0.582-0.008-0.0060.0390.1400.288
upper_second_half0.0430.0280.950-0.059-0.132-0.2980.922-0.458-0.0250.1310.454-0.548-0.003-0.4740.6090.0970.7070.718-0.0590.3290.892-0.093-0.2191.0000.112-0.003-0.011-0.0590.1660.391
lower_second_half-0.3840.7090.1490.111-0.156-0.4240.0660.446-0.0260.1580.064-0.014-0.011-0.4910.0180.3940.3340.3310.1110.1160.1640.109-0.5820.1121.000-0.0120.0070.1110.0540.054
special_chars_beginning-0.006-0.013-0.0010.1000.011-0.001-0.008-0.0130.143-0.009-0.008-0.0290.985-0.015-0.001-0.0080.000-0.0040.1000.003-0.004-0.016-0.008-0.003-0.0121.0000.0170.1000.0110.012
count_spaces-0.0020.0130.0010.1640.0080.004-0.0140.0110.0900.0030.020-0.0200.017-0.013-0.0100.0080.0150.0100.164-0.0020.0010.010-0.006-0.0110.0070.0171.0000.1640.0190.013
count_non_alphanumeric0.0720.184-0.0171.0000.0950.108-0.0910.1850.4090.0150.0330.0320.099-0.082-0.0020.0100.2100.1561.0000.029-0.0480.1750.039-0.0590.1110.1000.1641.0000.1990.079
most_common_char_freq0.2500.0840.2050.1990.4410.1720.136-0.0310.0720.0960.141-0.1540.012-0.0180.1100.0270.3410.0510.1990.1960.1850.0770.1400.1660.0540.0110.0190.1991.0000.017
strength0.2200.0600.2590.0790.0230.2310.3030.0580.0490.1390.1960.3780.0110.3050.2060.0930.0610.7410.0790.1310.2720.0810.2880.3910.0540.0120.0130.0790.0171.000

Missing values

2023-04-18T10:44:48.150414image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-04-18T10:44:49.400094image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

passwordstrengthcount_digitscount_lowercount_uppercount_symbolscount_repeated_charscount_consecutive_digitscount_consecutive_uppercount_consecutive_lowercount_consecutive_symbolscount_initial_digitscount_initial_uppercount_initial_lowercount_initial_symbolscount_final_digitscount_final_uppercount_final_lowerlengthunique_charsnum_special_charsdigits_first_halfupper_first_halflower_first_halfdigits_second_halfupper_second_halflower_second_halfspecial_chars_beginningcount_spacescount_non_alphanumericmost_common_char_freq
073ptilp025000104020000057602010040002
1kalem55025001104000502007600032020002
2aca007033001202000303006400033000002
3nopy98u025000103000400017700032020001
4ac7i5ge025000002000200027701021030001
5yasy16024000103000402006500032010002
6wqz45w024000102000300016500032010002
7mongol9016000005000601007600031030002
8karols1016000005000601007700031030001
9y4nuar015000003000100046601020030001
passwordstrengthcount_digitscount_lowercount_uppercount_symbolscount_repeated_charscount_consecutive_digitscount_consecutive_uppercount_consecutive_lowercount_consecutive_symbolscount_initial_digitscount_initial_uppercount_initial_lowercount_initial_symbolscount_final_digitscount_final_uppercount_final_lowerlengthunique_charsnum_special_charsdigits_first_halfupper_first_halflower_first_halfdigits_second_halfupper_second_halflower_second_halfspecial_chars_beginningcount_spacescount_non_alphanumericmost_common_char_freq
249401NGv165TIwNgwg0oA24660022200200010161303411250002
249402iwI2hsDExOAQu7NI22680004200020020161501341520002
249403gCHbGRjc2Mw0qcOD22770003200010020161500442330002
249404Felidae_blckPanther0012316211201300100300221710193170013
249405MeRAquFABUZy22623480125100100300151300433410002
249406juanpaganini588@gmail.com232002120170001200032515200123080024
249407tYAam8zg3Mg2AZ7a24750002200010001161301253320002
249408weslley.0688852428701370600070800161210078000013
249409sakaryal&#305;23803020710080000141230073010033
2494108rp4PTTM1MAlcLw024570104201000100161402422330002